Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pbio.2004285
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dc.titleBeyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research
dc.contributor.authorLim W.K.
dc.contributor.authorDavila S.
dc.contributor.authorTeo J.X.
dc.contributor.authorYang C.
dc.contributor.authorPua C.J.
dc.contributor.authorBlöcker C.
dc.contributor.authorLim J.Q.
dc.contributor.authorChing J.
dc.contributor.authorYap J.J.L.
dc.contributor.authorTan S.Y.
dc.contributor.authorSahlén A.
dc.contributor.authorChin C.W.-L.
dc.contributor.authorTeh B.T.
dc.contributor.authorRozen S.G.
dc.contributor.authorCook S.A.
dc.contributor.authorYeo K.K.
dc.contributor.authorTan P.
dc.date.accessioned2019-01-08T09:00:24Z
dc.date.available2019-01-08T09:00:24Z
dc.date.issued2018
dc.identifier.citationLim W.K., Davila S., Teo J.X., Yang C., Pua C.J., Blöcker C., Lim J.Q., Ching J., Yap J.J.L., Tan S.Y., Sahlén A., Chin C.W.-L., Teh B.T., Rozen S.G., Cook S.A., Yeo K.K., Tan P. (2018). Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. PLoS Biology 16 (2) : e2004285. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pbio.2004285
dc.identifier.issn15449173
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/150625
dc.description.abstractThe use of consumer-grade wearables for purposes beyond fitness tracking has not been comprehensively explored. We generated and analyzed multidimensional data from 233 normal volunteers, integrating wearable data, lifestyle questionnaires, cardiac imaging, sphingolipid profiling, and multiple clinical-grade cardiovascular and metabolic disease markers. We show that subjects can be stratified into distinct clusters based on daily activity patterns and that these clusters are marked by distinct demographic and behavioral patterns. While resting heart rates (RHRs) performed better than step counts in being associated with cardiovascular and metabolic disease markers, step counts identified relationships between physical activity and cardiac remodeling, suggesting that wearable data may play a role in reducing overdiagnosis of cardiac hypertrophy or dilatation in active individuals. Wearable-derived activity levels can be used to identify known and novel activity-modulated sphingolipids that are in turn associated with insulin sensitivity. Our findings demonstrate the potential for wearables in biomedical research and personalized health. © 2018 Lim et al.
dc.publisherPublic Library of Science
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1371/journal.pbio.2004285
dc.description.sourcetitlePLoS Biology
dc.description.volume16
dc.description.issue2
dc.description.pagee2004285
dc.description.codenPBLIB
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